Comments (4)
That's a pretty obvious, by the way the cost of the drawbacks is equal for all of the platforms, so i can assume the results are not faked by this setup.
Also consider wrk is suited for this scenarios, it uses just one process with 5 threads, consuming a mere 2MB of RAM and stressing just one core.
Anyway if OTP is suffering here is a peculiarity of its architecture, others platforms react pretty fine.
from app-servers.
Measuring how fast runtime can do something primarily IO bound doesn't really measure much in the context of what our apps are really built to do. Why not make all the tests single threaded and see what happens?
from app-servers.
Indeed the "purpose" (aside for fun) to test these platforms is to see how different, minimal implementations behave under heavy loading.
Why do limit pre-forking model platforms like Ruby, Python or Node to run one single process only?
It is like spawning multiple process for Java, GO or Rust: pointless.
I also observed complexity of the setup of each platform, to measure not only throughput, but efficiency too: in this regards languages like Ruby, Python, GO and Crystal (and Clojure to a lesser extent) are clear winners to me (i will add a paragraph about coding efficiency).
from app-servers.
Anyway any experimentation is pretty welcome, feel free to fork and bench 😄
from app-servers.
Related Issues (20)
- Clojure analysis HOT 3
- Test results qualification HOT 3
- Add launcher scripts and benchmark logging HOT 1
- ASP.NET Core HOT 5
- Add ponylang HOT 6
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- Feedback HOT 16
- Maybe you can also include D + Vibe.d HOT 12
- Vibe.d running debug build + possible Bug in detection threadsPerCpu HOT 5
- update dartlang to v2 HOT 1
- Alternative NodeJS HTTP Server HOT 2
- A Faster Python Server Alternative HOT 2
- Httpbeast is compiled without threads support HOT 1
- ASP.NET Core built in Debug mode? HOT 2
- Multi-threaded httpbeast HOT 1
- Dart [aot] HOT 1
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from app-servers.